AWS Lambda Interview Questions & Answers!!! Is the Lambda Interview with Amazon Web Services Something You are Prepared for?

Then you don’t need to worry; we have prepared some AWS Lambda questions that should put you at ease as you begin your AWS career.

Do not let timidity or fear prevent you from going for your dreams! You will be prepared for any challenge with our comprehensive set of AWS Lambda interview questions and answers. Start reaping the benefits of AWS Lambda by unleashing your talents.

AWS Lambda Interview Questions & Answers:

1. What is AWS Lambda?

Serverless computing service AWS Lambda removes servers for application development. User may develop, store, and execute back-end code, while EC2 offers virtual computing resources. Virtual computing resources are provided by EC2 while back-end programming is executed on Lambda.

2. What is the purpose of AWS Lambda?

The session aims to provide an overview of distributed application architecture and its use cases, benefits, and limitations. It will also include hands-on activities to better understand and apply the concepts.

3. How does AWS Lambda address the issue of deadlock in traditional applications?

Distributed application design solves stalemate in typical apps with AWS Lambda. This design divides the front end, back end, and database server, enabling each to focus on its own role. This boosts performance and scalability.

4. What is the difference between Elastic Beanstalk and S3 in AWS?

AWS provides Elastic Beanstalk and S3. Elastic Beanstalk streamlines web application deployment and scalability. Various programming languages and frameworks are supported. However, S3 allows you to store and retrieve data from any location online

5. What is distributed application architecture?

Distributed application architecture uses dedicated servers for software components. By separating the front end, back end, and database server, each can focus on its own duty. This boosts scalability, performance, and resource efficiency.

6. How does distributed application architecture address the issue of deadlock in traditional applications?

Distributed application architecture addresses the issue of deadlock in traditional applications by using dedicated servers for each software component. This allows each component to be scaled independently, reducing the workload on the back-end server and improving performance.

7. What is the difference between Elastic Beanstalk and S3 in AWS?

Elastic Beanstalk is a platform that makes it easy to deploy and scale web applications. S3, on the other hand, is a storage service that allows you to store and retrieve data from anywhere on the web. It is optimized for durability, scalability, and high availability.

8. What is the main difference between AWS Lambda and EC2?

The main difference between AWS Lambda and EC2 is that Lambda restricts its language support to a few languages, while EC2 allows users to install any software on the platform and choose an environment.

9. How does AWS Lambda differ from Elastic Beanstalk?

AWS Lambda allows clients to create and run programs without having to worry about server setup and administration. However, Elastic Beanstalk allows customers to select immediate types and other criteria. Lambda is stateless, but Elastic Beanstalk is stateful.

10. What are the benefits of using AWS Lambda?

Serverless architecture enables AWS Lambda customers to create and run programs without the need for server deployment or maintenance. Visual missions are unnecessary since processing power fits the task. Lambda’s default monitoring settings include logs and metrics for visually and textually analyzing function performance throughout seconds of service operation.

11. What are the limitations of AWS Lambda?

AWS Lambda’s primary drawback is its 500 M B storage capacity and 12 M B runtime environment. Lambda employs temporary storage for current Lambda function inputs and outputs, therefore directory storage can only hold 512 M B. They may not execute twice.

12. What is the amount of memory available for Lambda during execution?

The amount of memory available for Lambda during execution is between 128 and 308 M B, with a 64 M B increment between these values.

13. What languages are available for writing code in Lambda?

The only languages available for writing code in Lambda are Java, No.js Go, and Ruby.

14. What is a function in Lambda?

A function in Lambda is a script or program that runs in AWS Lambda when invoked. The code is the logic used in the Lambda function.

15. What is mean by run times in Lambda?

Run times in Lambda allow functions to run in different languages in the same base execution environment. The Lambda runtime sits between the Lambda service and your function code, choosing the correct run time for your file.

16. What are layers in Lambda?

Layers in Lambda are a distribution mechanism for libraries, custom run times, and other dependencies. Instead of downloading using the code written in your Lambda function, you can create layers and store the specific library or custom run times you want to run your programming.

17. What are log streams in Lambda?

Log streams in Lambda are a way to monitor the function’s execution. Lambda automatically monitors your function in vacations and reports metrics to cloud watch.

18. How can AWS Lambda functions be used to manage uploaded photos?

Uploading photographs to a website stores them in the AWS S3 bucket. A put action triggers the Lambda function as a put or get. The Lambda function code may keep the file name and location, transfer it to another S3 bucket, or download a picture (get).

19. How can AWS Lambda be used to copy files to multiple S3 buckets?

AWS Lambda can be used to copy files to multiple S3 buckets by creating a Lambda function that is triggered by an S3 bucket upload. Different file extensions can be copied to different buckets.

20. What is the purpose of this hands-on demonstration?

This hands-on example shows how Amazon S3 interacts with AWS Lambda. We’ll develop a basic website that uploads files to S3 and calls the Lambda function. We will submit jpeg, PDF, and txt files. Image, PDF, and text files are uploaded to the appropriate buckets.

21. What is the local code part of the demonstration?

The local code part of the demonstration involves two files: index.php and file logic.php. The index.php file has an input and a button, while the file logic.php executes the uploading to the S3 part.

22. What is the Python code used for the Lambda function?

The Lambda function Python code imports JSON, OS.part, and the AWS SDK for Python, which lets Python developers design and operate AWS apps. We import the source bucket, file name, copy source, and bucket source backend key.

23. What is the role and responsibility of the S3 dot copy object bucket in the given AWS process?

The S3 dot copy object bucket is the destination bucket, with the file name and copy source being the file that will be uploaded from the bucket.

24. What is the action performed by the logic in the given AWS process?

A5. The logic checks whether the object exists and whether the extension is present. If the object does not exist, it checks whether the extension is present and gets the extension or the last four characters (.jpg.pdf,.txt).

25. What is the implementation of the given AWS process?

The AWS procedure uses Amazon S3, AWS Lambda, and the management console. Users may maximize their AWS experience by knowing these services’ capabilities and implementation.

26. What is the purpose of creating four different S3 buckets in the given process?

Creating four different S3 buckets allows Lambda to call other AWS services without copying and pasting the JSON code. Those buckets are named as Object, Image, PDF, TXT.

27. What is the programming language used to write the given AWS Lambda function?

The programming language used to write the given AWS Lambda function is Python 3.7.

28. What is the purpose of the code written in Python 3.7 in the given process?

The purpose of the code written in Python 3.7 in the given process is to implement the trigger for the Lambda function without specifying any suffixes.

29. What is the function used to upload objects to the S3 bucket in the given process?

The function used to upload objects to the S3 bucket in the given process is the imported function and handler.

30. How is the process of uploading files to S3 started?

The process of uploading files to S3 is started by manually adding the code to the bucket S3, and then uploading the file.

31. What is the automatic trigger for the Lambda function?

The Lambda function is automatically triggered by the bucket image.

32. What is the purpose of creating simple webpage?

The purpose of creating simple webpage is to enable anyone to upload a file to S3.

33. What is the purpose of creating and deploying an Elastic Beanstalk application over there?

The purpose of creating and deploying an Elastic Beanstalk application over there is to automate the process of uploading files to S3 and segregating them according to the extension.

34. How can a policy be created for AWS Lambda?

Copy the target bucket ARN and establish a role called “S3 bucket copy lambda.” to construct an AWS Lambda policy. Create a “lambda.” role and attach the policy. Create a Node.js Lambda function and change the source and destination bucket names with their respective names.

35. What is the trigger set for the given Lambda function?

The trigger is set to S3 to run the function when an object is created.

36. What is the use case of Lambda?

The three use cases of Lambda mentioned in the given text are: serverless websites, automated backups, and filtering and transform data.

37. What is the serverless architecture?

Serverless architecture is an allowance to code and automatically manage servers and infrastructure completely.

38. For what Lambda functions are used?

Lambda functions can be used to correlate static websites with S3, making them available for users to track resources being used on the website.

39. What is the purpose of filter and transform data in AWS Lambda?

Filter and convert data in AWS Lambda connects it to S3, Kinesis, Redshift, RDS, DynamoDB, and Amazon Aurora. This lets customers filter data before delivering it to Amazon storage or database services, filter it using code, and load it between Lambda and these services.

40. What is the value of AWS Lambda in managing complex and dynamic IT tasks?

AWS Lambda is a valuable tool for managing complex and dynamic IT tasks. By understanding the features, limitations, and use cases of Lambda, users can make informed decisions about their cloud computing needs and optimize their resources.

41. What are the languages supported by AWS Lambda?

The languages supported by AWS Lambda include Node.js, Java, C-sharp, Go, and Python.

42. What is the definition of containers in AWS Lambda?

Containers are lightweight standalone executable packages of software that include everything needed to run it, including the codes that run times the system tools, the system libraries, and any other settings needed.

43. What happens when the number of requests increases in AWS Lambda?

As the request grows, it creates multiple containers to handle the requests. The more containers are provisioned, and the number of containers reduces as the number of requests decrease.

44. What is the use case of AWS Lambda for near real-time backups?

Create two-espiric buckets for the source and destination buckets to leverage AWS Lambda for near-real-time backups. IAM roles and Lambda functions are needed to connect the buckets and automatically copy files.

45. How does AWS Lambda trigger when there is a change in metadata for the bucket?

The Lambda function is triggered every time there is a change in metadata for the bucket, and this data is then uploaded into the destination bucket.

46. What is the feature of S3 called cross-region replication in history?

S3 offers a feature called cross-region replication in history, which allows users to replicate between different buckets in two different accounts.

47. What is the process of creating an IAM role for replicating data between buckets?

Users must build a policy permitting get and put objects on the source and destination buckets to create an IAM role that pulls and puts data. You may paste your source and destination bucket ARN into S3.

48. What is the use of AWS Lambda in DevOps engineering?

AWS Lambda, a crucial service for DevOps engineers, is used in various projects, such as cloud cost optimization and serverless architectures. Developers can use Lambda functions to trigger events, check the source S3 bucket, pick data, and put it in the destination bucket.

49. What is the importance of understanding Lambda functions from the perspective of a DevOps engineer?

Understanding Lambda functions helps DevOps engineers manage workload and optimize resources. Developers may choose the most cost-effective and suitable services by knowing serverless architecture, EC2 and Lambda functions, and when to utilize them.

50. What happens when an event triggers Lambda?

When an event triggers Lambda, it checks the source S3 bucket, picks data, and puts it in the destination bucket. The code is then saved and executed. Before saving, ensure that the appropriate roles are defined.

51. What happens when Lambda functions are used?

When Lambda functions are used, AWS will automatically create a compute instance for you. If your application requires more compute than it created, it will automatically scale up. Once your task is done, it will automatically scale down.

52. What is the responsibility of a DevOps engineer in creating cost optimization infrastructure?

A DevOps engineer is responsible for creating lambda functions or infrastructure for activities like cost optimization. This includes monitoring and reporting on all AWS resources used by the organization and controlling resource usage on all AWS services.

53. How can DevOps engineers monitor and report on all AWS resources using lambda functions?

DevOps engineers can use lambda functions to monitor and report on all AWS resources used by their organization. They can use lambda functions to control resource usage on all AWS services, such as monitoring and reporting on instances created with static IP addresses.

54. How DevOps engineers can use serverless architecture?

Serverless architecture include preventing the creation of GP2 EBS volumes due to security issues and monitoring S3 buckets with public access. They can also use serverless architecture to automate routine activities and improve cost optimization and security.

55. How can DevOps engineers use lambda functions to improve overall organizational performance?

DevOps engineers can use lambda functions to improve overall organizational performance by automating routine activities, optimizing costs, and ensuring security. By doing so, they can improve cost optimization, security, and overall organizational performance.

56. What are some benefits of using serverless architecture for DevOps engineers?

Serverless architecture offers DevOps engineers limitless scope, opportunities, cost efficiency, security, and regular tasks. With serverless architecture, DevOps engineers can optimize costs, security, and organizational performance.

57. How can DevOps engineers create a function on AWS?

Logging onto AWS and looking for lambda or lambda functions lets DevOps engineers construct a function. They may then click “create a function” and write code from scratch or use AWS examples. They can also develop code from scratch in Visual Studio or local code uploads.

58. What programming languages are useful for DevOps engineers?

Python supports Go, Java, Python, Ruby, Node.js, and shell scripting, making it handy for DevOps engineers. The advanced settings “URL” option gives DevOps engineers a public IP address or an IP address to access the lambda function application.

59. What is the purpose of enabling the “URL” option?

The purpose of enabling the “URL” option is to grant access to the application written in the lambda functions, ensuring that it can be accessed from outside the organization.

Let’s be more sparkle by reading MCQ’S of AWS Lambda.

1) Which service is used to upload files?

1. Amazon Web Services

2. Elastic Beanstalk

3. S3

4. All of the above

2) What is the goal of using AWS Lambda effectively in various scenarios?

1. To demonstrate how to use AWS Lambda for uploading files

2. To show how to use AWS Lambda for hosting software components

3. To display the file output as a bucket image

4. To address the deadlock issue caused by hosting all software components on an individual server

3) What is the difference between AWS Lambda and traditional application architecture?

1. Unlike conventional design, AWS Lambda employs dedicated servers for each software component.

2. AWS Lambda just hosts the website and back-end operations, whereas conventional architecture hosts all software components on one server.

3. Traditional architecture uses cloud technologies, while AWS Lambda does not.

4. AWS Lambda does not fix the stalemate created by putting all software components on one server.

4) What is the goal of using distributed application architecture?

1. To improve the situation by reducing the workload on the back-end server

2. To reduce costs and time associated with scaling the back-end server

3. To eliminate the need for servers during application development

4. To reduce the cost and time associated with hosting applications on a single server

5) What is an example of a distributed application architecture?

1. Google Photos

2. AWS Lambda

3. Elastic Beanstalk

4. All of the above

6) What is the difference between distributed application architecture and traditional application architecture?

1. Design employs one server for all software components, whereas distributed application architecture uses dedicated servers for each.

2. Traditional design needs one server, whereas distributed application architecture requires numerous.

3. Unlike conventional design, distributed application architecture uses serverless computing services to construct applications without servers.

4. Traditional architecture uses cloud technologies, whereas distributed application architecture does not.

7) What is the first benefit of Lambda?

1. Its serverless architecture, allowing users to focus on building and running the application without worrying about provisioning and managing servers.

2. Eliminating the need to create visual missions.

3. The elimination of the need to create and manage servers.

4.  The ability to store a maximum of 512 M B in the runtime environment.

8) What is the limitation of Lambda?

1. Slash T M P directory storage can only hold 512 M B at a time since the maximum disk space is 500 M B and the runtime environment is 12 M B.

2. It requires users to decide the operating system, install the required software, upload their code, and execute it.

3. It eliminates the need to create visual missions.

4. It provides resources based on workload.

9) What is the purpose of creating four different S3 buckets?

1. To allow Lambda to call other AWS services without copying and pasting the JSON code.

2. To test the function.

3. To configure the trigger.

4. To display data and logs in cloud watch.

10) How is the function created in the Lambda management console?

1. Uploading JSON code.

2. Writing the function from scratch using a blueprint and browser.

3. By supplying suffixes like JPG.

4. Adding a policy to the position.

No worries regarding your AWS Lambda interview! These detailed questions and answers will prepare you for anything. Remember, success involves understanding and implementing fundamentals in real life.

The excitement of passing the interview and getting the job. Practice and comprehending these areas will give you confidence to shine throughout.

Prepare today and display your gift- don’t be frightened!

All the Best!!!